Mapping is the term predominantly used to refer to studies that employ individual patient level data to estimate health state utility values from some non-preference based outcome measures. It is a practice undertaken in HTA, usually but not exclusively, when clinical trials have not collected preference-based instruments (a requirement to be able to derive QALYs in a cost-utility analysis). Using a mixture of lectures and practical exercises, this course will teach participants how to analyses individual patient level data to derive estimates of health state utilities from non-preference based outcome measures.This is an intermediate level course that will help participants to conduct mapping studies consistent with ISPOR Good Practices. It is a practical, computer-based course that requires participants to be familiar with the concept of mapping, associated good practices, and have a reasonable degree of competency with statistics and the use of the software Stata. Faculty will provide instruction on how to organize the data, pre-modeling checks, and detailed teaching on the implementation of methods that are recommended for mapping. These include both direct methods (where the health utility scores are the dependent variable) and indirect methods (where responses to the descriptive system of a preference based instrument are modeled). Computer code and pre-programmed Stata commands will be the basis for much of the practical instructions. Participants are encouraged to bring their personal Laptop computer with Stata 14 installed for use during the practical exercises. Attendees who do not own a copy of Stata can purchase an educational version (lasting 6 months) here http://www.stata.com/order/new/edu/gradplans/student-pricing/nodl/ for a small cost.